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  • Search: subject:"Data Science"
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Year of publication
Subject
All
Data Science 246 Künstliche Intelligenz 187 Artificial intelligence 178 Big Data 144 Big data 139 Data science 139 data science 136 Logistics 108 Industry 4.0 102 Supply Chain Management 96 Innovation 83 Artificial Intelligence 75 Digitalization 64 Digitalisierung 63 Supply chain 61 Data Mining 60 Lieferkette 60 Logistik 57 Theory 57 Data mining 56 Theorie 56 Digitization 52 Sustainability 42 Informationsmanagement 39 City Logistics 38 Information management 38 Maritime Logistics 38 Machine Learning and Data Science 34 Forecasting model 32 Prognoseverfahren 32 Logistics provider 31 Logistikunternehmen 31 big data 28 Statistical method 24 Statistische Methode 24 Data Analytics 23 Machine learning 23 Data analytics 22 Industrie 4.0 21 Learning process 19
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Online availability
All
Free 262 Undetermined 254 CC license 74
Type of publication
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Article 338 Book / Working Paper 217 Journal 5 Other 1
Type of publication (narrower categories)
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Article in journal 229 Aufsatz in Zeitschrift 229 Working Paper 59 Aufsatz im Buch 58 Book section 58 Graue Literatur 56 Non-commercial literature 56 Conference paper 49 Konferenzbeitrag 49 Conference Paper 47 Arbeitspapier 43 Aufsatzsammlung 30 Article 26 research-article 10 Konferenzschrift 9 Hochschulschrift 8 Lehrbuch 7 Research Report 5 Handbook 4 Handbuch 4 Collection of articles of several authors 3 Sammelwerk 3 Proceedings 2 Textbook 2 Amtliche Publikation 1 Case study 1 Collection of articles written by one author 1 Einführung 1 Fallstudie 1 Fallstudiensammlung 1 Forschungsbericht 1 Sammlung 1 case-report 1 review 1
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Language
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English 492 German 56 Undetermined 7 Spanish 4 French 1 Dutch 1
Author
All
Jahn, Carlos 20 Askitas, Nikos 12 Kersten, Wolfgang 12 Nathan, Max 7 Rosso, Anna 7 Charles, Vincent 6 Clausen, Uwe 6 Haasis, Hans-Dietrich 6 Klumpp, Matthias 6 Naudé, Wim 6 Zschech, Patrick 6 Chen, Yuxin 5 Cook, Dianne 5 Zhu, Joe 5 Grafelmann, Michaela 4 Lange, Ann-Kathrin 4 Levina, Anastasia 4 Li, Gen 4 Maydanova, Svetlana 4 Ringle, Christian M. 4 Schwientek, Anne Kathrina 4 Verbeet, Richard 4 Weigell, Jürgen 4 Zadek, Hartmut 4 Addo, Peter Martey 3 Beverungen, Daniel 3 Chi, Yuejie 3 Dörr, Sebastian 3 Gambacorta, Leonardo 3 Haake, Daniel 3 Hassani, Bertrand 3 Heesen, Bernd 3 Heinrich, Kai 3 Herden, Tino T. 3 Janssen, Marijn 3 Kallus, Nathan 3 Kamihigashi, Takashi 3 Langs, Georg 3 Lehrer, Christiane 3 Lübke, Karsten 3
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Institution
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Arbeitsmarktservice Österreich (AMS) 4 Internationale Tagung Wirtschaftsinformatik <18., 2023, Paderborn> 3 National Bureau of Economic Research 3 Hamburg International Conference of Logistics <2020, Hamburg; Internet> 2 TCW-Transfer-Centrum für Produktionslogistik und Technologie-Management <München> 2 Technische Universität Hamburg / Institut für Logistik und Unternehmensführung 2 Technische Universität Hamburg / Institute of Human Resource Management and Organizations 2 Carl Hanser Verlag 1 Edward Elgar Publishing 1 Erich Schmidt Verlag 1 Europäische Kommission / Gemeinsame Forschungsstelle 1 Friedrich-Alexander-Universität Erlangen-Nürnberg 1 Hanser Publications 1 Haufe-Lexware GmbH & Co. KG 1 International Conference on Business Excellence <15., 2021, Bukarest> 1 Münchner Management Kolloquium <29., 2022, München> 1 Springer Fachmedien Wiesbaden 1 Springer Vieweg 1 Technische Universität Hamburg / Institut für Maritime Logistik 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
All
Operations research 35 Data science and innovation in supply chain management : how data transforms the value chain 28 Data science in maritime and city logistics : data-driven solutions for logistics and sustainability 18 European journal of operational research : EJOR 16 Springer eBook Collection 14 Discussion paper series / IZA 7 HMD : Praxis der Wirtschaftsinformatik 7 IZA Discussion Papers 7 Technological forecasting & social change : an international journal 7 Jahrbücher für Nationalökonomie und Statistik 6 International journal of production research 5 Working paper / Department of Econometrics and Business Statistics, Monash University 5 AMS info 4 AMS-Info 4 Business & information systems engineering 4 Lecture Notes in Information Systems and Organisation 4 Proceedings of the Hamburg International Conference of Logistics (HICL) 4 Annals of operations research 3 Data Technologies and Applications 3 Discussion paper series / Research Institute for Economics and Business Administration, Kobe University 3 European research studies 3 HMD Praxis der Wirtschaftsinformatik 3 IEEE transactions on engineering management : EM 3 International Series in Operations Research & Management Science 3 International journal of business intelligence research : IJBIR ; an official publication of the Information Resources Management Association 3 Journal of Asia Business Studies 3 Journal of Risk and Financial Management 3 Journal of business analytics 3 Journal of business logistics : JBL 3 Journal of risk and financial management : JRFM 3 Journal of the Operational Research Society 3 NBER working paper series 3 Working papers / Harvard Business School, Division of Research 3 ZRFC : risk, fraud & compliance ; Prävention und Aufdeckung in der Compliance-Organisation 3 AStA Wirtschafts- und Sozialstatistisches Archiv 2 Advances in marketing, customer relationship management, and e-services (AMCRMES) book series 2 Benchmarking : an international journal 2 Benchmarking: An International Journal 2 Business & Information Systems Engineering 2 Chapman & Hall/CRC financial mathematics series 2
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Source
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ECONIS (ZBW) 432 EconStor 101 Other ZBW resources 23 RePEc 4 BASE 1
Showing 271 - 280 of 561
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Enhancing B2B supply chain traceability using smart contracts and IoT
Ahmed, Mohamed; Taconet, Chantal; Ould, Mohamed; … - In: Data science and innovation in supply chain management …, (pp. 559-589). 2020
Purpose: The management of B2B supply chains that involve many stakeholders re-quires traceability processes. Those processes need to be secured. Furthermore, quality traceability data has to be transparently shared among the stakeholders. In order to improve the traceability process, we propose...
Persistent link: https://www.econbiz.de/10012387382
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Blockchain technology in Germany : an excerpt of real use cases in logistics industry
Bartsch, Devis; Winkler, Herwig - In: Data science and innovation in supply chain management …, (pp. 699-735). 2020
Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures, frictions and waste of time and money among the logisticsprocess chain. With the ability to provide data securely in near real-time, liketrack and tracing data of goods to every...
Persistent link: https://www.econbiz.de/10012387383
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Success factors for online food retail logistics
Beckmann, Anne; Kleineidam, Julia; Straube, Frank - In: Data science and innovation in supply chain management …, (pp. 852-873). 2020
Purpose: While e-commerce in general has been growing rapidly for years, food e-commerce is lagging behind in Germany. The common approach of using traditional logistics systems and fulfilment concepts does not lead to long-term success. Con-sidering this problem, success factors are needed as a...
Persistent link: https://www.econbiz.de/10012387384
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A holistic digitalization KPI framework for the aerospace industry
Krol, Felix; Saeed, Muhammad Amad; Kersten, Wolfgang - In: Data science and innovation in supply chain management …, (pp. 798-847). 2020
Purpose: The aerospace supply chain is characterized by a high degree of small andmedium-sized suppliers. To stay competitive, suppliers are facing high pressures todigitalize their business but have limited resources available. Furthermore, aerospacesuppliers lack a framework to measure their...
Persistent link: https://www.econbiz.de/10012387385
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Impact of notification time on risk mitigation in inland waterway transport
Gast, Johannes; Wehrle, Rebecca; Wiens, Marcus; … - In: Data science and innovation in supply chain management …, (pp. 247-278). 2020
Purpose: Transport infrastructures form the backbone of today's interconnected real economy. Interruptions in the availability of these critical infrastructures occur, among other things, due to maintenance operations. Since companies and Supply Chains are dependent on planning security, an...
Persistent link: https://www.econbiz.de/10012387386
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Blockchain technology : integration in supply chain processes
Gürpinar, Tan; Harre, Sophie; Henke, Michael; Saleh, Farah - In: Data science and innovation in supply chain management …, (pp. 153-185). 2020
Purpose: Supply chain networks face an increasing demand to integrate globally distributedcustomers and suppliers. As supply chain processes are deemed to lack sufficienttransparency and security, blockchain solutions are piloted to offer an IT infrastructurecovering these needs. This paper aims...
Persistent link: https://www.econbiz.de/10012387387
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Data science in maritime and city logistics : data-driven solutions for logistics and sustainability
Jahn, Carlos (ed.); Kersten, Wolfgang (ed.);  … - Hamburg International Conference of Logistics <2020, … - 2020 - 1st edition
This volume contains research contributions by an international group of authors addressing innovative and technology-based approaches for logistics and sustainability. They present simulation studies, systems and models for optimizations and digitalized solutions with a focus on maritime as...
Persistent link: https://www.econbiz.de/10012387538
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Supply chain planning in the food industry
Stüve, David; Meer, Robert van der; Lütke Entrup, Matthias - In: Data science and innovation in supply chain management …, (pp. 317-353). 2020
Purpose: Advanced Planning Systems (APS) can contribute to improved decision-making and enhanced efficiency along complex food supply chains. This paper presents a systematic literature review of supply chain planning (SCP) in the food industry. In particular, the literature on three...
Persistent link: https://www.econbiz.de/10012387949
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Impacts of a smart factory on procurement logistics
Zander, Bennet; Lange, Kerstin; Haasis, Hans-Dietrich - In: Data science and innovation in supply chain management …, (pp. 459-485). 2020
Purpose: In order to keep up with the automation Smart Factories will bring into the market, procurement logistics has to be redesigned to ensure self-organizing production. The purpose of this paper is to examine the future changes of the procurement processes as well as the further role of...
Persistent link: https://www.econbiz.de/10012388001
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Evaluation of data quality in dimensioning capacity
Vliegen, Lea; Moroff, Nikolas Ulrich; Riehl, Katharina - In: Data science and innovation in supply chain management …, (pp. 355-394). 2020
Purpose: This paper aims to give an overview of the current state of research on measuring data quality. The identified methods will be applied to the task of dimensioning capacities (e.g. warehouse capacities) in the field of supply chain design (SCD) to further increase trust in decision...
Persistent link: https://www.econbiz.de/10012388018
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